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Passive Aerial Righting and Safe Landing of a Small Bio-Inspired Jumping Robot
  • Kim, Baekgyeom ;
  • Ortega-Jimenez, Victor M. ;
  • Bhamla, M. Saad ;
  • Koh, Je Sung
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dc.contributor.authorKim, Baekgyeom-
dc.contributor.authorOrtega-Jimenez, Victor M.-
dc.contributor.authorBhamla, M. Saad-
dc.contributor.authorKoh, Je Sung-
dc.date.issued2024-01-01-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/37146-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85193819143&origin=inward-
dc.description.abstractControlled landing is essential for biological and engineered jumpers to perform repetitive jumps and avoid damage to the body. In this paper, we introduce a bio-inspired jumping robot. This robot, small in scale (body length of approximately 20 mm) and lightweight (around 100 mg), can jump directionally and land with a controlled posture. Its torque reversal catapult-based jumping mechanism facilitates rapid takeoff at a speed of 3 m/s and achieves a maximum jumping height of approximately 22 times its size. This performance is remarkably similar to the height reached by springtails. The aerodynamic torque, induced by drag flaps, can reduce the body's angular velocity by 70% compared to that of an uncontrolled robot. Moreover, the robot's mid-air posture can be passively controlled through an enhanced stable equilibrium.-
dc.description.sponsorshipThis research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF-RS202300275819, 2021R1C1C1011872).-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.subject.meshAerodynamic torque-
dc.subject.meshJumping mechanisms-
dc.subject.meshJumping robot-
dc.subject.meshPerformance-
dc.subject.meshSafe landing-
dc.subject.meshStable equilibrium-
dc.titlePassive Aerial Righting and Safe Landing of a Small Bio-Inspired Jumping Robot-
dc.typeConference-
dc.citation.conferenceDate2024.4.14. ~ 2024.4.17.-
dc.citation.conferenceName7th IEEE International Conference on Soft Robotics, RoboSoft 2024-
dc.citation.edition2024 IEEE 7th International Conference on Soft Robotics, RoboSoft 2024-
dc.citation.endPage437-
dc.citation.startPage432-
dc.citation.title2024 IEEE 7th International Conference on Soft Robotics, RoboSoft 2024-
dc.identifier.bibliographicCitation2024 IEEE 7th International Conference on Soft Robotics, RoboSoft 2024, pp.432-437-
dc.identifier.doi10.1109/robosoft60065.2024.10521985-
dc.identifier.scopusid2-s2.0-85193819143-
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10521892-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaArtificial Intelligence-
dc.subject.subareaComputer Vision and Pattern Recognition-
dc.subject.subareaMaterials Science (miscellaneous)-
dc.subject.subareaControl and Optimization-
dc.subject.subareaModeling and Simulation-
dc.subject.subareaInstrumentation-
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